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Content and collaborative filtering for User-Movie recommendation system.

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Elmar999/Recommendation-systems

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Recommendation systems

Content and Collaborative filtering for User-Movie recommendation system.

Content filtering:

  • Content filtering takes user-item similarity into account. Implemented K means clustering algorithm to cluster the movies based on contents (genres of the movies). Predicted rating for a particular movie based on the ratings that user give to other movies grouped in the same cluster.

Collaborative filtering:

  • Collaborative filtering takes user-user similarity into account instead of user-item. Implemented neural network in sense of matrix factorization. No information about content of the movies has been used.

More clarification and updates will be made later.

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